Abstract
Recently, there has been a growing interest in aircraft noise. Aircraft noise analysis requires the identification and extraction of aircraft noise from background noise and is generally carried out through manual work by engineers. The management of data through manual work is not only required by expert engineers, but is not efficient to handle the vast noise data. Moreover, with the development of big data analysis techniques through AI, artificial intelligence technology, which can efficiently process data in the noise field, is being used. The purpose of this study is to develop an artificial intelligence model that extracts and evaluates aircraft noise. Aircraft noise data measured for 140 days were analyzed via an AI model, and the highest recognition rate was confirmed in the combined model.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Transactions of the Korean Society for Noise and Vibration Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
